Operation state detection method, device and terminal device of DC fan

Abstract

The present invention provides a method, device and terminal device for detecting the operating state of a DC fan. The method includes: obtaining the terminal voltage and the fan speed of a target DC fan; inputting the terminal voltage and the fan speed into a preset formula to obtain the actual rotation coefficient of the target DC fan; wherein the preset formula is derived according to the electromotive force balance equation of the armature circuit of the DC fan; detecting the operating state of the target DC fan according to the actual rotation coefficient and a preset rotation coefficient range. The method, device and terminal device for detecting the operating state of a DC fan provided by the present invention can accurately detect the operating state of the DC fan.

Description

Technical Field

[0001] The present invention belongs to the technical field of state detection, and more specifically, relates to a method, device and terminal device for detecting the operating state of a DC fan. Background Art

[0002] In the prior art, when detecting the operating state of a DC fan, usually a certain parameter of the DC fan is obtained, and then each parameter is separately compared with the threshold corresponding to each parameter to obtain the operating state of the DC fan. However, this detection method obviously does not consider the relationship between each parameter, which results in the low accuracy of the existing DC fan operating state detection scheme. Summary of the Invention

[0003] The purpose of the present invention is to provide a method, device and terminal device for detecting the operating state of a DC fan, so as to solve the problem of low accuracy of the existing DC fan operating state detection scheme.

[0004] In the first aspect of the embodiment of the present invention, a method for detecting the operating state of a DC fan is provided, including:

[0005] Obtain the terminal voltage and fan speed of the target DC fan;

[0006] Input the terminal voltage and the fan speed into a preset formula to obtain the actual rotation coefficient of the target DC fan; wherein, the preset formula is derived from the electromotive force balance equation of the armature circuit of the DC fan;

[0007] Detect the operating state of the target DC fan according to the actual rotation coefficient and the preset rotation coefficient range.

[0008] In a possible implementation manner, the preset formula is:

[0009]

[0010] wherein, K fan is the actual rotation coefficient, n is the fan speed, and a and b are both preset coefficients.

[0011] In a possible implementation manner, the detecting the operating state of the target DC fan according to the actual rotation coefficient and the preset rotation coefficient range includes:

[0012] If the actual rotation coefficient is within the preset rotation coefficient range, it is determined that the target DC fan is in a normal operating state;

[0013] If the actual rotation coefficient is not within the preset rotation coefficient range, it is determined that the target DC fan is in an abnormal operating state.

[0014] In a possible implementation, the types of the abnormal operating states include the sub-healthy state and the diseased state; after determining that the target DC fan is in an abnormal operating state, the method for detecting the operating state of the DC fan further includes:

[0015] Calculating the amount of error by which the actual rotation coefficient exceeds the rotation coefficient range;

[0016] If the amount of error is greater than a preset first error threshold, it is determined that the target DC fan is in the diseased state; if the amount of error is less than a preset second error threshold, it is determined that the target DC fan is in the sub-healthy state;

[0017] Wherein, the first error threshold is greater than the second error threshold.

[0018] In a possible implementation, after determining that the target DC fan is in an abnormal operating state, the method for detecting the operating state of the DC fan further includes:

[0019] If the amount of error is within the range formed by the second error threshold and the first error threshold, the type of the abnormal operating state of the target DC fan is determined according to the actual rotation coefficient, the terminal voltage, and the fan speed.

[0020] In a possible implementation, the derivation process of the preset formula is as follows:

[0021] Obtaining the electromotive force balance equation of the armature circuit of the DC fan and the relationship between the fan torque and the fan speed corresponding to the DC fan;

[0022] Deriving the relationship between the terminal voltage of the DC motor and the fan speed according to the electromotive force balance equation of the armature circuit and the relationship between the fan torque and the fan speed;

[0023] Extracting the constant term in the relationship between the terminal voltage and the fan speed to one side of the equal sign, and using the formula on the other side of the equal sign as the preset formula.

[0024] In a possible implementation, the preset rotation coefficient range is (K′ fan -e, K′ fan +e);

[0025] Wherein, K′ fan is the constant term on one side of the equal sign, and e is a preset error.

[0026] In a second aspect of the embodiments of the present invention, there is provided a device for detecting the operating state of a DC fan, including:

[0027] A data acquisition module for acquiring the terminal voltage and the fan speed of the target DC fan;

[0028] A coefficient calculation module for inputting the terminal voltage and the fan speed into a preset formula to obtain the actual rotation coefficient of the target DC fan; wherein, the preset formula is derived from the electromotive force balance equation of the armature circuit of the DC fan;

[0029] A status detection module for detecting the operating status of the target DC fan according to the actual rotation coefficient and a preset rotation coefficient range.

[0030] In a third aspect of the embodiments of the present invention, a terminal device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above method for detecting the operating status of a DC fan are implemented.

[0031] In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method for detecting the operating status of a DC fan are implemented.

[0032] The beneficial effects of the method, device, and terminal device for detecting the operating status of a DC fan provided by the embodiments of the present invention are as follows:

[0033] Different from the existing DC fan operating status detection solutions, the present invention pre-derives a preset formula according to the electromotive force balance equation of the armature circuit of the DC fan. After obtaining the terminal voltage and the fan speed of the DC fan, instead of directly comparing the terminal voltage and the fan speed with their corresponding thresholds, the present invention inputs the terminal voltage and the fan speed into the preset formula to calculate the actual rotation coefficient after integrating the two quantities of the terminal voltage and the fan speed. Then, according to the actual rotation coefficient and the preset rotation coefficient range, the operating status of the DC fan is judged. That is to say, compared with the prior art, the present invention can better consider the mutual influence between different parameters, so that it can better detect the operating status of the DC fan compared with the "separate parameter comparison" method, and thus effectively improve the accuracy of detecting the operating status of the DC fan. Description of the Drawings

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0035] Figure 1 Schematic flowchart of the operating state detection method for a DC fan provided by an embodiment of the present invention;

[0036] Figure 2 Block diagram of the structure of the operating state detection device for a DC fan provided by an embodiment of the present invention;

[0037] Figure 3 Schematic block diagram of a terminal device provided by an embodiment of the present invention. Detailed implementation manners

[0038] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. However, those skilled in the art should clearly understand that the present invention can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from interfering with the description of the present invention.

[0039] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will be described through specific embodiments with reference to the accompanying drawings.

[0040] Please refer to Figure 1 , Figure 1 Schematic flowchart of the operating state detection method for a DC fan provided by an embodiment of the present invention. The method includes:

[0041] S101: Obtain the terminal voltage and the fan speed of the target DC fan.

[0042] In this embodiment, the terminal voltage and the fan speed of the target DC fan can be collected and stored by data collection devices such as voltage sensors and infrared sensors. On this basis, the terminal voltage and the fan speed of the target DC fan can be directly obtained from the data collection devices.

[0043] S102: Input the terminal voltage and the fan speed into a preset formula to obtain the actual rotation coefficient of the target DC fan. Among them, the preset formula is derived from the electromotive force balance equation of the armature circuit of the DC fan.

[0044] In this embodiment, the preset formula is a formula for calculating the actual rotation coefficient based on the terminal voltage and the fan speed. The preset formula can be pre-derived from the electromotive force balance equation of the armature circuit of the DC motor. Among them, the coefficients of the preset formula can be calculated by means of parameter calibration.

[0045] S103: Detect the operating state of the target DC fan according to the actual rotation coefficient and the preset rotation coefficient range.

[0046] In a possible implementation of this embodiment, detecting the operating state of the target DC fan according to the actual rotation coefficient and the preset rotation coefficient range includes:

[0047] If the actual rotation coefficient is within the preset rotation coefficient range, it is determined that the target DC fan is in a normal operating state. If the actual rotation coefficient is not within the preset rotation coefficient range, it is determined that the target DC fan is in an abnormal operating state.

[0048] For example, if the preset rotation coefficient range is (K min , K max ), then when the actual rotation coefficient satisfies K fan > K max or K fan < K min , it indicates that the target DC fan is in an abnormal operating state (that is, in a state of healthy abnormality).

[0049] In this embodiment, the abnormal operating state can be a fan disease state such as fan stall or foreign object jamming, or a fan sub-healthy state such as fan aging or bearing wear, which is not limited here.

[0050] It can be concluded from the above that different from the DC fan operating state detection scheme in the prior art, the embodiment of the present invention pre-derives a preset formula according to the armature circuit electromotive force balance equation of the DC fan. After obtaining the terminal voltage and fan speed of the DC fan, the embodiment of the present invention does not directly compare the terminal voltage and fan speed with their corresponding thresholds, but inputs the terminal voltage and fan speed into the preset formula to calculate the actual rotation coefficient after integrating the two quantities of the terminal voltage and fan speed, and then determines the operating state of the DC fan according to the actual rotation coefficient and the preset rotation coefficient range. That is to say, compared with the prior art, the embodiment of the present invention can better consider the mutual influence between different parameters, so that it can better detect the operating state of the DC fan compared with the method of "separate parameter comparison", and thus effectively improve the accuracy of detecting the operating state of the DC fan.

[0051] In a possible implementation, the preset formula is:

[0052]

[0053] Wherein, K fan is the actual rotation coefficient, n is the fan speed, and a and b are both preset coefficients.

[0054] In this embodiment, a and b can be calibrated by obtaining multiple groups of test data.

[0055] In a possible implementation, the types of abnormal operating states include sub-healthy states and disease states; after determining that the target DC fan is in an abnormal operating state, the method for detecting the operating state of the DC fan may further include:

[0056] Calculate the error amount by which the actual rotation coefficient exceeds the rotation coefficient range.

[0057] If the error amount is greater than a preset first error threshold, it is determined that the target DC fan is in a disease state. If the error amount is less than a preset second error threshold, it is determined that the target DC fan is in a sub-healthy state.

[0058] Wherein, the first error threshold is much greater than the second error threshold.

[0059] In this embodiment, the rotation coefficients of the same model of DC fans are basically the same. When the actual rotation coefficient calculated for an individual DC fan shows an abnormal deviation (exceeding the preset rotation coefficient range), it indicates that there are abnormalities in the torque, voltage, etc. exhibited by the DC fan at a specific rotational speed, that is, there are abnormalities in the operation of the DC fan. On this basis, the degree of deviation of the actual rotation coefficient from the rotation coefficient range is different, and the corresponding degree of abnormality may also be different, that is, the specific types of the corresponding abnormal operating states may also be different. Therefore, the embodiments of the present invention can also determine the type of the normal operating state of the DC fan according to the degree to which the actual rotation coefficient exceeds the rotation coefficient range, so as to facilitate subsequent inspection and maintenance.

[0060] In this embodiment, the first error threshold and the second error threshold can be set according to actual requirements.

[0061] In a possible implementation, after determining that the target DC fan is in an abnormal operating state, the method for detecting the operating state of the DC fan may further include:

[0062] If the error amount is within the range composed of the second error threshold and the first error threshold (that is, the error amount is not greater than the second error threshold and not less than the first error threshold), then determine the type of the abnormal operating state of the target DC fan according to the actual rotation coefficient, the terminal voltage, and the fan speed.

[0063] In this embodiment, if the error amount is between the range composed of the second error threshold and the first error threshold, it may not be possible to directly determine the type of abnormal operation state of the target DC fan only based on the magnitude of the actual rotation coefficient (outside the rotation coefficient range). Therefore, at this time, the terminal voltage and the fan speed can be combined to make a judgment. For example, the actual rotation coefficient, the terminal voltage, and the fan speed can be combined to form a feature vector, and the feature vector can be input into a preset deep learning model to realize the judgment of the abnormal state operation type and even the specific fan abnormal type. In this example, the terminal voltage and the fan speed respectively represent two independent parameters, and the actual rotation coefficient represents the comprehensive effect of the two independent parameters. After combining these three parameters into a feature vector, the characteristics of the target DC fan can be described more comprehensively, so as to accurately judge the operation state of the target DC fan.

[0064] In a possible implementation manner, after it is determined that the target DC fan is in an abnormal operation state, the method for detecting the operation state of the DC fan further includes:

[0065] Judging the abnormal type of the target DC fan according to the magnitude of the actual rotation coefficient.

[0066] In this embodiment, the abnormal type of the target DC fan can also be judged according to the magnitude of the actual rotation coefficient. It should be noted here that when the actual rotation coefficient is too large or too small, there may be more than one corresponding abnormal type. For example, when the fan stalls, is stuck by foreign objects, etc., the fan speed decreases, and at this time, the actual rotation coefficient of the DC fan shows an abnormal increase. When the fan ages, the bearing wears, etc., the rotation impedance of the fan increases, and a larger driving voltage is required at the same rotation speed. At this time, the actual rotation coefficient of the DC fan will also increase. That is to say, when the actual rotation coefficient of the DC fan is abnormally increased, it may be because the fan stalls, is stuck by foreign objects, or it may be because the fan ages, the bearing wears. The essence of the embodiment of the present invention is to determine the range of abnormal types according to the magnitude of the actual rotation coefficient. If a more accurate determination is required, more parameters and thresholds can be combined for judgment (for example, in the foregoing embodiment, a more specific abnormal type can be judged by combining the actual rotation coefficient, the terminal voltage, and the fan speed to form a feature vector and inputting the feature vector into a preset deep learning model). That is to say, in this embodiment, when the actual rotation coefficient is less than the minimum value corresponding to the rotation coefficient range, the DC fan corresponds to several abnormal types, and when the actual rotation coefficient is greater than the maximum value corresponding to the rotation coefficient range, the DC fan corresponds to several other abnormal types. Therefore, the possible abnormal types of the DC fan can be judged based on the magnitude of the actual rotation coefficient of the DC fan, and there is at least one such abnormal type.

[0067] In a possible implementation manner, the derivation process of the preset formula is as follows:

[0068] Obtain the electromotive force balance equation of the armature circuit of the DC fan and the relationship between the fan torque and the fan speed corresponding to the DC fan.

[0069] Derive the relationship between the terminal voltage of the DC motor and the fan speed according to the electromotive force balance equation of the armature circuit and the relationship between the fan torque and the fan speed.

[0070] Extract the constant term in the relationship between the terminal voltage and the fan speed to one side of the equal sign, and use the formula on the other side of the equal sign as the preset formula.

[0071] In this embodiment, the electromotive force balance equation of the armature circuit of the DC fan is:

[0072]

[0073] Among them, U is the terminal voltage of the DC fan, E a is the armature electromotive force of the DC fan, I a is the armature current of the DC fan, R a is the total equivalent resistance of the armature circuit of the DC fan, C e is the electromotive force constant of the DC fan, n is the fan speed of the DC fan, Φ is the motor magnetic flux of the DC fan, T is the motor torque of the DC fan, C T is the torque constant of the DC fan.

[0074] In this embodiment, since the fan belongs to a quadratic load and its torque is proportional to the square of the fan speed within a certain speed range, the relationship between the fan torque and the fan speed corresponding to the DC fan is:

[0075] T = kn 2

[0076] Among them, k is the torque-speed proportionality coefficient of the DC fan.

[0077] On this basis, the relationship between the terminal voltage of the DC motor and the fan speed derived according to the electromotive force balance equation of the armature circuit and the relationship between the fan torque and the fan speed can be detailed as:

[0078] Substitute T = kn 2 into to obtain the relationship between the terminal voltage of the DC motor and the fan speed

[0079] In this embodiment, extracting the constant term in to one side of the equal sign, we can get On this basis, since The electromotive force constant, torque constant, motor magnetic flux, torque-speed proportionality coefficient, etc. are all the same constants for the same DC fan. Therefore, can be simplified to At this time, on the other side of the equal sign is the preset formula for calculating the actual rotation coefficient (i.e., the preset formula).

[0080] In a possible implementation, the preset rotation coefficient range is (K′ fan -e, K′ fan +e).

[0081] Among them, K′ fan is the constant term on one side of the equal sign (i.e., the standard rotation coefficient), and e is the preset error.

[0082] In the foregoing derivation process example, the standard rotation coefficient is 1 (i.e., the value of K′ fan is 1). If the preset error e is set to 0.05, the preset rotation coefficient range can be set to (1 - 0.05, 1 + 0.05).

[0083] In this embodiment, the value of K′ fan being 1 means that the preset formula is When the preset formula is derived into other forms, the value of K′ fan can be set according to the actual derivation result.

[0084] Corresponding to the DC fan operation state detection method in the above embodiment, Figure 2 is the structural block diagram of the DC fan operation state detection device provided by an embodiment of the present invention. For the sake of convenience of description, only the parts related to the embodiments of the present invention are shown. Refer to Figure 2 The DC fan operation state detection device 20 includes: a data acquisition module 21, a coefficient calculation module 22, and a state detection module 23.

[0085] Among them, the data acquisition module 21 is used to acquire the terminal voltage of the target DC fan and the fan speed.

[0086] The coefficient calculation module 22 is used to input the terminal voltage and the fan speed into the preset formula to obtain the actual rotation coefficient of the target DC fan. Among them, the preset formula is derived from the electromotive force balance equation of the armature circuit of the DC fan.

[0087] The state detection module 23 is used to detect the operation state of the target DC fan according to the actual rotation coefficient and the preset rotation coefficient range.

[0088] In a possible implementation, the preset formula is:

[0089]

[0090] Among them, K fan is the actual rotation coefficient, n is the fan speed, and both a and b are preset coefficients.

[0091] In a possible implementation, the state detection module 23 is specifically configured to:

[0092] If the actual rotation coefficient is within the preset rotation coefficient range, it is determined that the target DC fan is in a normal operating state.

[0093] If the actual rotation coefficient is not within the preset rotation coefficient range, it is determined that the target DC fan is in an abnormal operating state.

[0094] In a possible implementation, the types of abnormal operating states include sub-healthy states and disease states. After determining that the target DC fan is in an abnormal operating state, the state detection module 23 is further configured to perform the following steps:

[0095] Calculate the error amount by which the actual rotation coefficient exceeds the rotation coefficient range.

[0096] If the error amount is greater than the preset first error threshold, it is determined that the target DC fan is in a disease state. If the error amount is less than the preset second error threshold, it is determined that the target DC fan is in a sub-healthy state.

[0097] Among them, the first error threshold is greater than the second error threshold.

[0098] In a possible implementation, after determining that the target DC fan is in an abnormal operating state, the state detection module 23 is further configured to perform the following steps:

[0099] If the error amount is within the range composed of the second error threshold and the first error threshold, determine the type of the abnormal operating state of the target DC fan according to the actual rotation coefficient, the terminal voltage, and the fan speed. In a possible implementation, the coefficient calculation module 22 is further configured to deduce a preset formula, and the deduction process of the preset formula is as follows:

[0100] Obtain the armature circuit electromotive force balance equation of the DC fan and the relationship between the fan torque and the fan speed corresponding to the DC fan.

[0101] Deduce the relationship between the terminal voltage and the fan speed corresponding to the DC motor according to the armature circuit electromotive force balance equation and the relationship between the fan torque and the fan speed.

[0102] Extract the constant term in the relationship between the terminal voltage and the fan speed to one side of the equal sign, and use the formula on the other side of the equal sign as the preset formula.

[0103] In a possible implementation, the preset range of the rotation coefficient is (K′ fan - e, K′ fan + e).

[0104] Wherein, K′ fan is a constant term on one side of the equal sign, and e is a preset error.

[0105] Refer to Figure 3 , Figure 3 which is a schematic block diagram of a terminal device provided in an embodiment of the present invention. As Figure 3 shown, the terminal 300 in this embodiment may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The above-mentioned processors 301, input devices 302, output devices 303, and memories 304 communicate with each other through a communication bus 305. The memory 304 is used to store computer programs, and the computer programs include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. Among them, the processor 301 is configured to call the program instructions to perform the functions of the above-mentioned modules / units in each of the device embodiments, such as Figure 2 the functions of the modules 21 to 23 shown

[0106] It should be understood that in the embodiments of the present invention, the so-called processor 301 may be a central processing unit (CPU), and this processor may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or this processor may also be any conventional processor, etc.

[0107] The input device 302 may include a touchpad, a fingerprint sensor (for collecting the fingerprint information and the fingerprint direction information of the user), a microphone, etc., and the output device 303 may include a display (such as an LCD), a speaker, etc.

[0108] The memory 304 may include a read-only memory and a random access memory, and provide instructions and data to the processor 301. A part of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information about the device type.

[0109] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiments of the present invention may execute the implementation manners described in the first and second embodiments of the method for detecting the operating state of a DC fan provided by the embodiments of the present invention, and may also execute the implementation manner of the terminal described in the embodiments of the present invention, which will not be elaborated herein.

[0110] In another embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, and the computer program includes program instructions. When the program instructions are executed by a processor, all or part of the processes in the method of the above embodiments are implemented. It can also be completed by instructing relevant hardware through the computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice within the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0111] The computer-readable storage medium can be the internal storage unit of the terminal in any of the foregoing embodiments, such as the hard disk or memory of the terminal. The computer-readable storage medium can also be an external storage device of the terminal, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on the terminal. Further, the computer-readable storage medium can also include both the internal storage unit and the external storage device of the terminal. The computer-readable storage medium is used to store the computer program and other programs and data required by the terminal. The computer-readable storage medium can also be used to temporarily store the data that has been output or will be output.

[0112] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0113] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described terminals and units can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0114] In several embodiments provided in the present application, it should be understood that the disclosed terminals and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed couplings or direct couplings or communication connections to each other can be indirect couplings or communication connections through some interfaces or units, and can also be electrical, mechanical, or other forms of connection.

[0115] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present invention.

[0116] In addition, the functional units in each embodiment of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0117] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or substitutions within the technical scope disclosed by the present invention, and these modifications or substitutions should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A method for detecting the operating state of a DC fan, characterized in that, Including: Obtaining the terminal voltage and the fan speed of the target DC fan; Inputting the terminal voltage and the fan speed into a preset formula to obtain the actual rotation coefficient of the target DC fan; wherein, the preset formula is derived from the electromotive force balance equation of the armature circuit of the DC fan; Detecting the operating state of the target DC fan according to the actual rotation coefficient and a preset rotation coefficient range; The preset formula is: Among them, K fan is the actual rotation coefficient, n is the fan speed, b = C e Φ, U is the terminal voltage of the DC fan; R a represents the total equivalent resistance of the armature circuit of the DC fan, C e represents the electromotive force constant of the DC fan, Φ represents the motor magnetic flux of the DC fan, C T represents the torque constant of the DC fan, k represents the torque-speed proportionality coefficient of the DC fan.

2. The operating state detection method of the DC fan according to claim 1, characterized in that The detecting the operating state of the target DC fan according to the actual rotation coefficient and a preset rotation coefficient range includes: If the actual rotation coefficient is within the preset rotation coefficient range, it is determined that the target DC fan is in a normal operating state; If the actual rotation coefficient is not within the preset rotation coefficient range, it is determined that the target DC fan is in an abnormal operating state.

3. The operating state detection method of the DC fan according to claim 2, wherein, The types of the abnormal operating state include a sub-healthy state and a diseased state; After determining that the target DC fan is in an abnormal operating state, the method for detecting the operating state of the DC fan further includes: Calculating the error amount by which the actual rotation coefficient exceeds the rotation coefficient range; If the error amount is greater than a preset first error threshold, it is determined that the target DC fan is in a diseased state; if the error amount is less than a preset second error threshold, it is determined that the target DC fan is in a sub-healthy state; Wherein, the first error threshold is greater than the second error threshold.

4. The operating state detection method of the DC fan according to claim 3, characterized in that After determining that the target DC fan is in an abnormal operating state, the method for detecting the operating state of the DC fan further includes: If the error amount is within the range composed of the second error threshold and the first error threshold, determining the type of the abnormal operating state of the target DC fan according to the actual rotation coefficient, the terminal voltage and the fan speed.

5. The operating state detection method of the DC fan according to claim 1, characterized in that The derivation process of the preset formula is: Obtaining the electromotive force balance equation of the armature circuit of the DC fan and the relationship between the fan torque and the fan speed corresponding to the DC fan; Deriving the relationship between the terminal voltage and the fan speed corresponding to the DC motor according to the electromotive force balance equation of the armature circuit and the relationship between the fan torque and the fan speed; Extracting the constant term in the relationship between the terminal voltage and the fan speed to one side of the equal sign, and using the formula on the other side of the equal sign as the preset formula.

6. The operating state detection method of the DC fan according to claim 5, characterized in that, The preset range of the rotation coefficient is (K′ fan -e, K′ fan +e); where K' fan is the constant term on one side of the equal sign, and e is a preset error.

7. A running state detection device for a DC fan, characterized in that, Including: A data acquisition module for obtaining the terminal voltage and the fan speed of the target DC fan; A coefficient calculation module for inputting the terminal voltage and the fan speed into a preset formula to obtain the actual rotation coefficient of the target DC fan; wherein, the preset formula is derived from the electromotive force balance equation of the armature circuit of the DC fan; A state detection module for detecting the operating state of the target DC fan according to the actual rotation coefficient and a preset rotation coefficient range; The preset formula is: Among them, K fan is the actual rotation coefficient, n is the fan speed, b = C e Φ; U is the terminal voltage of the DC fan; R a represents the total equivalent resistance of the armature circuit of the DC fan, C e represents the electromotive force constant of the DC fan, Φ represents the motor magnetic flux of the DC fan, C T represents the torque constant of the DC fan, and k represents the torque-speed ratio coefficient of the DC fan.

8. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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